Triple
T19484189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidenheim district |
E487465
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Nattheim |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nattheim | Statement: [Heidenheim district, containsMunicipality, Nattheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nattheim Context triple: [Heidenheim district, containsMunicipality, Nattheim]
-
A.
Nattheim
chosen
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
-
B.
Veltheim
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
-
C.
Stockheim
Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
D.
Thalheim
Thalheim is a town in the German state of Saxony-Anhalt that was incorporated into the larger city of Bitterfeld-Wolfen.
-
E.
Gemmenich
Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343dcc748190b0df816e6ab4cafb |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.